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Investigation into effective traffic noise abatement design solutions for mountain corridors.

File Language:
English


Details

  • Creators:
    Tischmak, Dale
  • Corporate Creators:
    Felsburg, Holt & Ullevig
  • Corporate Contributors:
    United States. Federal Highway Administration
  • Subject/TRT Terms:
  • Publication/ Report Number:
    CDOT-2013-11
  • Resource Type:
    Tech Report
  • Geographical Coverage:
    Colorado
  • Corporate Publisher:
    Colorado. Dept. of Transportation. Research Branch
  • NTL Classification:
    NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION ; NTL-ENERGY AND ENVIRONMENT-ENERGY AND ENVIRONMENT
  • Abstract:
    Traffic noise abatement in mountain corridors can be difficult because traditional roadside barriers may be ineffective

    due to topography or may not fit the setting. This study examined current best practices from around the world to gather

    concepts for mitigating traffic noise in mountain corridors in Colorado. A literature review of prospective noise

    abatement actions found that noise barriers are the most effective direct noise abatement measure, although quieter

    pavements could have an important supporting role. The literature review was followed by computerized traffic noise

    modeling of promising candidate barrier concepts. Several noise barriers were evaluated through modeling at two areas

    along the I-70 corridor using the Nord2000 Road prediction method. Each of the barriers was found to be effective in

    some or many situations; the largest, most imposing barrier (galleries) showed the most potential for reducing traffic

    noise at locations above the elevation of the highway. Continued use of noise barriers as a primary abatement

    mechanism was recommended. Consideration of quieter default pavement types was recommended to lower general

    traffic noise levels in support of environmental stewardship goals.

  • Format:
    PDF
  • Funding:
    34.28
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:2f73f852d6e85fdb82ab2e15ffc75eec07898fb94f235badf0d5885d2e3e9768
  • Download URL:
  • File Type:
    Filetype[PDF - 7.18 MB ]
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